We propose an automated system which is based on agglomerative hierarchical clustering and automatically organizes a collection of music files according to musical surface characteristics (e.g., zero crossings, short-time energy, etc.) and tempo. The system architecture is based on three distinct yet inter-related processes, namely: (a) Preprocessing (format normalization and extraction of fift...

The genetic diversity of a set of hexaploid and tetraploid wheat germplasm at the IPK gene bank, Gatersleben, Germany was investigated by applying 13 wheat microsatellites (WMS). The materials consisted of 63 accessions of Triticum aestivum, T. dicoccon and T. durum obtained from different collection missions. In total, 126 alleles were detected with an average of 9.7 alleles per locus. The ave...

Using information from several metabolic databases, we have built our own metabolic database containing 434 pathways and 1157 different enzymes. We have used this information to construct a dendrogram that demonstrates the metabolic similarities between 282 species. The resulting species distribution and the clusters defined in the tree show a certain taxonomic congruence, especially in recent ...

This paper presents a new approach to clustering fuzzy data, called Extensional Tree (ET) clustering algorithm by defining a dendrogram over fuzzy data and using a new metric between fuzzy numbers based on α-cuts. All the similar previous methods extended FCM to support fuzzy data. The present work is based on hierarchical clustering algorithm to cluster fuzzy data. In this novel approach a den...

ed through use from the particular to the general class or type. Hierarchical agglomerative clustering is the most common approach, which provides intuitive similarity relationships between any one sample and the entire dataset, and is typically illustrated by a dendrogram (tree diagram) (Einax et al. 1998; McKenna 2003). The dendrogram provides a visual summary of the clustering processes, pre...

Sixty-seven isolates of Phytophthora infestans collected from Himalayan hill regions and subtropical planes of India were characterized by RAPD markers to assess diversity and differentiation based on location of origin. Ten random decamer primers generated 161 polymorphic fragments. Association of P. infestans isolates on the dendrogram and PCO plot revealed two clear grouping based on geograp...

In hierarchical cluster analysis dendrogram graphs are used to visualize how clusters are formed. Because each observation is displayed dendrograms are impractical when the data set is large. For non-hierarchical cluster algorithms (e.g. Kmeans) a graph like the dendrogram does not exist. This paper discusses a graph named “clustergram” to examine how cluster members are assigned to clusters as...

Two major religious groups of India were studied, viz. Hindu and Muslim. The survey was confined to 1059 individuals of Aligarh city (UP). Households were selected on random a priori basis during day time by door to door contact. Muslims populations were Syed, Sheikh, Pathan, Ansari and Hindus were Brahmin, Bania, Rajput, Jatav. Gene frequency, allele frequency, heterozygosity, genetic identity...

Streptococcus ssp are important components of the dental biofilm and Streptococcus crista is considered to be an interesting model of bacterial interactions taking place in this biofilm. In the present work, S. crista strains were isolated from the dental biofilm of Brazilian individuals and studied with respect to their biological characteristics and their molecular profile by means of AP-PCR ...

One of the microarray data analyses using Gene Ontology (GO) [1] is grouping of genes by hierarchical cluster analysis (HCA) followed by extraction of common functions from the grouped genes. When some genes display similar expression changes in response to a situation change, it is thought that those have a similar function or role in a biological process. Therefore, genetic classifications fr...